Abstract
In this paper we introduce the spiral facets framework as a novel mechanism of encoding 3D facial triangular mesh surface that incorporates crucial 3D face shape information by exploiting specific arrangement patterns of facets in the mesh model. The spiral facets framework is characterized by its simplicity and in the ability of adapting it for several useful applications within the domain of 3D face recognition. This paper will introduce the framework and study in detail the properties of the spiral facets that make it suitable for applications including frontal face extraction, estimation of face pose, facial feature extraction and face alignment. We validate the stability and the robustness of our framework against different system level parameters through experimentation with raw 3D mesh surfaces obtained from both globally available datasets and in-house 3D scanned data. Our results demonstrate that the spiral facets framework is a simple and compact representation that encompasses rich shape information that can be usefully deployed both locally and globally across the 3D face in comparison to other standard representations.
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Werghi, N., Bhaskar, H., Naqbi, M.K., Meguebli, Y., Boukadida, H. (2013). The Spiral Facets: A Compact 3D Facial Mesh Surface Representation and Its Applications. In: Csurka, G., Kraus, M., Mestetskiy, L., Richard, P., Braz, J. (eds) Computer Vision, Imaging and Computer Graphics. Theory and Applications. VISIGRAPP 2011. Communications in Computer and Information Science, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32350-8_13
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DOI: https://doi.org/10.1007/978-3-642-32350-8_13
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